Triple
T18351328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sputnik Sweetheart |
E439672
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
K
K is a reserved, emotionally conflicted elementary school teacher and the introspective narrator of Haruki Murakami’s novel "Sputnik Sweetheart."
|
E1319676
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: K | Statement: [Sputnik Sweetheart, hasCharacter, K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K Context triple: [Sputnik Sweetheart, hasCharacter, K]
-
A.
K
K is the line designation used for Los Angeles Metro's K Line light rail service.
-
B.
K
K is the replicant blade runner protagonist of the science fiction film "Blade Runner 2049," whose investigation into a long-buried secret drives the movie’s central mystery and themes of identity.
-
C.
K
K is the route designation for San Francisco’s Muni Metro K Ingleside light rail line.
-
D.
K
K is the New York Stock Exchange ticker symbol for Kellogg Company, a major American multinational food manufacturing corporation best known for its breakfast cereals and snack products.
-
E.
K
K is the vehicle registration code used for the Austrian city of Klagenfurt.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: K Triple: [Sputnik Sweetheart, hasCharacter, K]
Generated description
K is a reserved, emotionally conflicted elementary school teacher and the introspective narrator of Haruki Murakami’s novel "Sputnik Sweetheart."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K Target entity description: K is a reserved, emotionally conflicted elementary school teacher and the introspective narrator of Haruki Murakami’s novel "Sputnik Sweetheart."
-
A.
K
K is the replicant blade runner protagonist of the science fiction film "Blade Runner 2049," whose investigation into a long-buried secret drives the movie’s central mystery and themes of identity.
-
B.
K
K is the route designation for San Francisco’s Muni Metro K Ingleside light rail line.
-
C.
K
K is the New York Stock Exchange ticker symbol for Kellogg Company, a major American multinational food manufacturing corporation best known for its breakfast cereals and snack products.
-
D.
K
K is the line designation used for Los Angeles Metro's K Line light rail service.
-
E.
K
K is the currency symbol used to denote the Papua New Guinean kina.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc28b80c8190819b989478bb62bd |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03cd1858c481909f78fb1a4c27437c |
completed | May 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ce9e3dd08190b912fe9e9f552053 |
completed | May 13, 2026, 1:06 a.m. |
Created at: April 10, 2026, 10:37 a.m.